Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data

JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data

(2015) Dimitris Rizopoulos   Journal of Statistical Software

A penalized likelihood approach to joint modeling of longitudinal measurements and time-to-event data

(2013) Xihong Lin et al.   Statistics and Its Interface

Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach

(2009) C. Proust-Lima et al.   BIOSTATISTICS

Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data

(2009) Dimitris Rizopoulos et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Shared parameter models under random effects misspecification

(2008) D. Rizopoulos et al.   BIOMETRIKA

Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal Survival–Cure Model

(2008) Menggang Yu et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data

(2007) Jimin Ding et al.   BIOMETRICS